Optical coherence tomography for quantification of wear in dental restorative materials

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dc.contributor.authorAzeez, Akeem
dc.contributor.examiningcommitteeTodescan, Reynaldo (Dental Diagnostic and Surgical Sciences)
dc.contributor.examiningcommitteeAshraf, Ahmed (Electrical and Computer Engineering)
dc.contributor.examiningcommitteeManso, Adriano (University of British Columbia)
dc.contributor.supervisorFrança, Rodrigo
dc.contributor.supervisorSherif, Sherif
dc.date.accessioned2023-08-04T18:41:23Z
dc.date.available2023-08-04T18:41:23Z
dc.date.copyright2023-05-18
dc.date.issued2023-04-26
dc.date.submitted2023-05-18T14:18:17Zen_US
dc.degree.disciplineBiomedical Engineeringen_US
dc.degree.levelDoctor of Philosophy (Ph.D.)en_US
dc.description.abstractTooth enamel is the hardest substance in the body, but it is still subject to wear due to the harsh oral environment. Tooth wear can be categorized into mechanical and chemical types and can threaten an individual's eating rate and habits. Researchers have proposed using Optical Coherence Tomography (OCT) to measure tooth wear in dentistry, but they rely on the aid of depth-measuring apps. In this work, I systematically reviewed the global prevalence of tooth wear and statistically estimated the number of people affected by teeth wear. I also explored the possibility of using OCT in the quantification of tooth wear without the help of any length/depth measuring apps. I emulated wear in a restorative material, compared the results with the standard method (Surface Profiler), and used OCT to compare emulated wear in three different restorative materials. The results showed that OCT is a step closer to being fully adopted as a clinical imaging tool in dentistry.en_US
dc.description.noteOctober 2023en_US
dc.identifier.urihttp://hdl.handle.net/1993/37444
dc.language.isoengen_US
dc.rightsopen accessen_US
dc.subjecttooth wearen_US
dc.subjectOCTen_US
dc.subjectdental wearen_US
dc.subjectimagingen_US
dc.subjectdepth measurementen_US
dc.subjectrestorative materialsen_US
dc.titleOptical coherence tomography for quantification of wear in dental restorative materials
dc.typedoctoral thesisen_US
local.subject.manitobanoen_US
oaire.awardNumberPTDF/OSS/17/PHD/154/1178en_US
oaire.awardTitleOversea PhD Scholarshipen_US
oaire.awardURIhttps://ptdf.gov.ng/en_US
project.funder.namePetroleum Training and Development Funds (PTDF),Nigeriaen_US
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